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  2. Forskning og information: generelt
  3. Dataanalyse: generelt

Business Analytics with Python

- Essential Skills for Business Students
Af: Bowei Chen, Gerhard Kling Engelsk Paperback

Business Analytics with Python

- Essential Skills for Business Students
Af: Bowei Chen, Gerhard Kling Engelsk Paperback
Tjek vores konkurrenters priser

Data-driven decision-making is a fundamental component of business success. Use this textbook to help you learn and understand the core knowledge and techniques needed for analysing business data with Python programming.

Business Analytics with Python is ideal for students taking upper level undergraduate and postgraduate modules on analytics as part of their business, management or finance degrees. It assumes no prior knowledge or experience in computer science, instead presenting the technical aspects of the subject in an accessible, introductory way for students. This book takes a holistic approach to business analytics, covering not only Python as well as mathematical and statistical concepts, essential machine learning methods and their applications.

Features include:
- Chapters covering preliminaries, as well as supervised and unsupervised machine learning techniques
- A running case study to help students apply their knowledge in practice.
- Real-life examples demonstrating the use of business analytics for tasks such as customer churn prediction, credit card fraud detection, and sales forecasting.
- Practical exercises and activities, learning objectives, and chapter summaries to support learning.

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Tjek vores konkurrenters priser
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Fragt: 39 kr
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Tjek vores konkurrenters priser

Data-driven decision-making is a fundamental component of business success. Use this textbook to help you learn and understand the core knowledge and techniques needed for analysing business data with Python programming.

Business Analytics with Python is ideal for students taking upper level undergraduate and postgraduate modules on analytics as part of their business, management or finance degrees. It assumes no prior knowledge or experience in computer science, instead presenting the technical aspects of the subject in an accessible, introductory way for students. This book takes a holistic approach to business analytics, covering not only Python as well as mathematical and statistical concepts, essential machine learning methods and their applications.

Features include:
- Chapters covering preliminaries, as well as supervised and unsupervised machine learning techniques
- A running case study to help students apply their knowledge in practice.
- Real-life examples demonstrating the use of business analytics for tasks such as customer churn prediction, credit card fraud detection, and sales forecasting.
- Practical exercises and activities, learning objectives, and chapter summaries to support learning.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 408
ISBN-13: 9781398617179
Indbinding: Paperback
Udgave:
ISBN-10: 1398617172
Kategori: Dataanalyse: generelt
Udg. Dato: 3 mar 2025
Længde: 26mm
Bredde: 170mm
Højde: 239mm
Forlag: Kogan Page Ltd
Oplagsdato: 3 mar 2025
Forfatter(e): Bowei Chen, Gerhard Kling
Forfatter(e) Bowei Chen, Gerhard Kling

Kategori Dataanalyse: generelt

ISBN-13 9781398617179

Sprog Engelsk

Indbinding Paperback

Sider 408

Udgave

Længde 26mm

Bredde 170mm

Højde 239mm

Udg. Dato 3 mar 2025

Oplagsdato 3 mar 2025

Forlag Kogan Page Ltd

Kategori sammenhænge